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content-based-text-document-classification

Target documents belonging to 4 classes in the implementation; namely science, politics, sports and religion. Each class has 250 documents (sentences). The program takes these sentences and applies NLP processes on it to come up with features that will help classify any unseen document.

fakenewsdetection

gradeligibilitytool

The project aims to create an autonomous eligibility tool that assistant grad students to check their eligibility to graduate based on their current student record. Project also includes the study plan for the current semester according to course enrollment and course structure.

hmm-decoding

Programmatically implement the Viterbi algorithm and run it with the example Hidden Markov Model

imp-interview-questions

The following are the IMP interview questions

inference-in-bayesian-networks-alarm-network

Implementation of exact inference by enumeration, prior sampling, rejection sampling and likelihood weighting.

information-retrieval-programming-assignment

This is the series of programming assignment in Information Retireval coursse during my Fall 2016 Semester.

integer-sequence-learning

Extracting the latent parameters of a sequence using Baum Welch Algorithm and predicting the next element in the sequence using the latent variables learnt.

rule-based-pos-tagging

Retag the training file with POS tags that are most probable for a given word

startbootstrap-sb-admin-2

A free, open source, Bootstrap admin theme created by Start Bootstrap